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Learning Architect Jobs (NOW HIRING)

Samprasoft

Define and architect comprehensive model management framework across these 4 major areas * Monitor data quality - monitor drift in data quality. * Monitor model quality - monitor drift in model ...

Amazon

Sr. Learning Architect, Amazon Leo

Arlington, VA · On-site

As we prepare to launch service and scale our training operations across customers, partners, and field service providers, we need a Sr Learning Solution Architect who can own the technical backbone ...

phData

OR

We are looking for a Machine Learning Architect to join our Machine Learning team. In this role, you will lead the architecture and implementation of production-grade machine learning and data ...

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Learning Architect information

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$46.5K

$128.8K

$201.5K

How much do learning architect jobs pay per year?

As of Jun 12, 2026, the average yearly pay for learning architect in the United States is $128,756.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,000.00 and $166,000.00 per year, depending on experience, location, and employer.

What does a learning architect do?

A learning architect designs and develops educational programs, curricula, and learning experiences tailored to organizational needs. They analyze learning goals, select appropriate tools and technologies, and often collaborate with subject matter experts to create effective training solutions. Strong skills in instructional design, technology, and project management are essential for this role.

What job makes $10,000 a month without a degree?

A Learning Architect typically earns less than $10,000 a month without a degree, as high salaries in this field often require advanced experience or certifications. However, some high-paying roles in sales, real estate, or entrepreneurship can reach or exceed this income level without formal degrees, especially with strong skills, networks, and business acumen.

What are some common challenges faced by Learning Architects in their day-to-day work?

Learning Architects often navigate challenges such as aligning training solutions with diverse business objectives while accommodating varying learning styles and technological capabilities of the audience. They may need to manage tight deadlines, balance multiple projects, and collaborate with subject matter experts, stakeholders, and technical teams to ensure content accuracy and engagement. Adapting to new e-learning trends and integrating emerging technologies can also be demanding yet rewarding. Overcoming these challenges helps Learning Architects deliver impactful, effective educational experiences that drive organizational performance.

What is the salary of an ML architect?

The salary of a machine learning (ML) architect typically ranges from $100,000 to $160,000 annually, depending on experience, location, and industry. Senior ML architects with specialized skills or certifications can earn higher salaries, especially in tech hubs or large organizations.

What does a Learning Architect do?

A Learning Architect designs and develops strategic learning experiences, frameworks, and instructional systems to support organizational or educational goals. They integrate technology, pedagogy, and user experience principles to create effective and scalable learning solutions. Their role often involves collaborating with subject matter experts, instructional designers, and technology teams to ensure content is engaging, accessible, and aligned with business or educational objectives.

How to become an architect with no experience?

To become a Learning Architect with no experience, start by gaining foundational knowledge through relevant education such as a degree in education, instructional design, or related fields. Develop skills in curriculum development, e-learning tools, and learning management systems, and seek entry-level roles or internships to build practical experience. Certifications like Certified Professional in Learning and Performance (CPLP) can also enhance your qualifications.

What are the key skills and qualifications needed to thrive in the Learning Architect position, and why are they important?

To thrive as a Learning Architect, you need expertise in instructional design, curriculum development, and a solid understanding of adult learning principles, typically supported by a degree in education, instructional design, or a related field. Familiarity with learning management systems (LMS), authoring tools like Articulate Storyline or Adobe Captivate, and industry certifications such as CPLP or ATD are highly valued. Strong collaboration, project management, and communication skills set candidates apart in this role. These skills are crucial for designing effective, scalable learning solutions that meet organizational goals and engage diverse learner populations.

More about Learning Architect jobs
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Learning Architect jobs near you
Infographic showing various Learning Architect job openings in the United States as of June 2026, with employment types broken down into 3% As Needed, 20% Full Time, 74% Part Time, and 3% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $128,756 per year, or $61.9 per hour.
Machine Learning Architect - IV

Machine Learning Architect - IV

Samprasoft

Hybrid

Other

Posted 2 days ago

Job description

Job Title

Hybrid: 3 to 5 days a week in the office (Basking Ridge, NJ or Rochelle Park, NJ)

Experience

  • 7+ years experience in designing and developing enterprise class AI platforms and solutions
  • 3+ years of experience with enterprise fully automated model and risk management solution.
  • 3+ years implementing data ops, ML ops
  • MS or BS in Computer Science, Information Science, Engineering or other related field

Skills

  • Deep understanding and hands on experience with ML engineering techniques and tools including hands on experience with ML operations.
  • Experience with the primary managed data services within Google Cloud Platform, including AI Vertex, Cloud Bigtable, Cloud Spanner, Cloud SQL, or BigQuery
  • Proficient in data science workbenches such as Domino, container platform such as K8s/Docker, Core Java, J2EE, JSP, Servlet, Node.js, Angular
  • Proficient in big data technologies, data transport (Pulsar/Kafka), Spark, Jupyter/Python
  • Experience working with multiple databases: Cassandra, PostGreS, Teradata. and NoSQL and RDBMS technologies container platform such as K8s/Docker
  • Experience with various agile methodologies and tools: JIRA, Confluence, Gitlab, CICD, etc.
  • Exposure to product based development methodology is desirable
  • Strong leadership, communication, persuasion and teamwork skills

ML Model Management Platform Strategy

  • Define and architect comprehensive model management framework across these 4 major areas
  • Monitor data quality - monitor drift in data quality.
  • Monitor model quality - monitor drift in model quality metrics, such as accuracy.
  • Monitor bias drift for models in production - monitor bias in model's predictions.
  • Monitor feature attribution drift for models in production - monitor drift in feature attribution.

Technology / Execution

  • Build and implement a platform for seamless integration and interface with existing batch and realtime ML systems to enable track performance metrics and verify the accuracy of predictions
  • Design/implement a clean UI so that data drift, model quality, and other health statistics are provided in an easy-to-understand interface to enable quick assessment of the business impact and initiate proactive actions
  • Implement appropriate notifications, alerts for both upstream and downstream systems

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